Deep Learning framework provided seems to support input layers pertaining to image and sequence/time-series data only. Is the understanding correct? Are there means to use for tabular non-sequence big data as input (via datastore tall arrays or any other equivalent means?) and appropriate intermediate layers and output layer? For instance, have a data store (/tall array) as input layer, followed by leakyReluLayers, and a regression layer output.